Scientists predict climate change's effects on crops using a model. Rising CO2 boosts growth briefly, but heat harms yields.

A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor Fernandes, a statistics ...

(a) regression method with inputs of weather factors and vegetation indices; (b) is biomass and harvest index model; (c) is a crop growth model with input of weather, soil, vegetation ...

It’s Friday in Pro Farmer Crop Tour week, which means the highly anticipated production estimates for the 2023 U.S. corn and soybean crops are now available. These estimates are based on Crop ...

A mathematical model captures the relationship between carbon dioxide, temperature, human population, and crop growth -- and ...

It has reduced erosion and improved crop yields and quality of life for over ... much less valuable for predicting absolute levels of soil loss sheet erosion - detachment of soil particles ...

monitoring crop health, predicting pest infestations, and enhancing yield predictions. These advancements not only increase efficiency and crop yields but also contribute to sustainable farming ...

Crop yields have increased steadily since 1960 ... in the future by drought conditions of unprecedented severity.REF Predictions of increased risk of forest fires due to climate change have ...

In Chaos, researchers share a mathematical model created to capture the nonlinear relationships between CO2, temperature, ...

An international research group has developed a new way to estimate photosynthetically active radiation (PAR) and predict the crop yield in agrivoltaic projects. “We have re-parameterized and ...

Human activities are causing atmospheric carbon dioxide (CO2) levels to rise, which increases the global average surface temperature—and poses a threat to crop growth. Escalating concerns about ...